Function for visualisation of raw data -Ovarian cancer

I want to a 'plot' function to effectively visualise the ovarian cancer data inbuilt in MATLAB.

load ("OvanrianCancer.mat")

Error using load
Unable to find file or directory 'OvanrianCancer.mat'.

The variable X (a 4000 by 216 matrix containing 4000 gene expression from 216 patients with and without ovarian cancer) is what I want to visualisation in its raw form to get an insight of its patterns. I intend to use a modal decomposition algorithm to analyse and re-construct it.

I have tried different 'plot' function but the results are awlful. I guess it's me not using the right 'syntax' or commands.

[Walter Roberson]

What do the entries look like? For example, what are the first 10 entries of the first row?

[Cutie]

Each column contains 4000 gene expression samples of a patient.

[Image Analyst]

Please attach 'ovariancancer.mat' with the paperclip icon.

[Walter Roberson]

surf(obs)

??

[Cutie]

@Walter Roberson surf(obs) didn't give anything meaniful

@Image Analyst I have attached the data

Answer 1

[Image Analyst]

Try this:

load('OvarianCancer.mat')
plot(X, '-');
grid on;

Do you want to make a model of it? Do you have any ground truth for the data?

[Cutie]

i did this plot function before but the confusion is that the visuals are too small to make insights from. I use semilogy.

I am analysing the data using a modal decomposition algorithm. My model is to be able create a reconstructed replica of the original data (with its patterns/structures).

Maybe, some 'manipulation' ideas to perfect the plot functions can help. e.g setting the limits.

[Walter Roberson]

You have over 800000 data points of floating point values that you are asking to draw in a single graph that probably is only about 1000 pixels + borders wide. It is not obvious to me that you can have any possible meaningful visualization — not unless you are doing some kind of summary like histogram.